Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus

Tuba Ahmed, Mohammad Abdul Mukit, Khawza I. Ahmed, Raqibul Mostafa, Sharmin Parveen, Ahsan Habib Khandoker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Microvascular complications are one of the roots of mortality among type II diabetes mellitus (T2DM) patients. The aim of the study is to determine the significance of the sleep segment from a 24-hour Holter ECG recording and to show the variation between the 24-hour signal and the sleep-segmented signal among the T2DM patients in Bangladesh using electrocardiographic variables related to microvascular complications. ECG data recording has been obtained from 103 T2DM patients (≥40 years old) and studied using time and frequency domain analysis of heart rate variability (HRV). The significance has been set at less than 0.05. The result reveals that the sleep segment recordings for ECG signals of the T2DM patients are more informative for diabetes microvascular complications. Although screening techniques are available, they are generally expensive. Detection of the microvascular complications using ECG recording during an effective time frame can help to make the screening affordable for poor patients.

Original languageBritish English
Title of host publication2020 IEEE Region 10 Symposium, TENSYMP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1282-1285
Number of pages4
ISBN (Electronic)9781728173665
DOIs
StatePublished - 5 Jun 2020
Event2020 IEEE Region 10 Symposium, TENSYMP 2020 - Virtual, Dhaka, Bangladesh
Duration: 5 Jun 20207 Jun 2020

Publication series

Name2020 IEEE Region 10 Symposium, TENSYMP 2020

Conference

Conference2020 IEEE Region 10 Symposium, TENSYMP 2020
Country/TerritoryBangladesh
CityVirtual, Dhaka
Period5/06/207/06/20

Keywords

  • 24-hour holter ECG
  • diabetic mellitus
  • heart rate variability
  • microvascular complications

Fingerprint

Dive into the research topics of 'Effective Segmentation on 24-hour Holter Recording for Classifying Microvascular Complications of Type II Diabetes Mellitus'. Together they form a unique fingerprint.

Cite this